The Face Emotion Recognition project leverages artificial intelligence and the oneAPI framework to accurately identify and classify emotions displayed by individuals through facial expressions. By utilizing advanced machine learning algorithms and deep neural networks, the system can analyze facial
Solar energy is abundant, sustainable, and renewable, making it an ideal source of energy world wide. This project aims in building a model to estimate the cost and power generated by solar power in a particular region by weather forecast and motivate to adopt these methods for a better living.
The "MediScan" project aims to transform healthcare by accurately converting handwritten prescriptions into digital formats. Leveraging advanced OCR and Artificial Inteligence (AI), it enhances patient safety by reducing errors caused by manual interpretation. Developed collaboratively on GitHub, Me
oneHealth leverages Intel's oneAPI to revolutionize healthcare. Seamlessly combining AI and medical expertise, it delivers accurate and rapid diagnoses for brain tumors, heart disease, and diabetes. Experience cutting-edge technology for precise, timely, and life-changing healthcare solutions.
NeuralScan is an advanced deep learning model designed to classify brain tumors from MRI scans. It employs a convolutional neural network architecture with attention mechanisms for accurate feature extraction. Augmentation techniques and transfer learning enhance its performance.
BlindMate is designed to transform the lives of visually impaired individuals. Our project is driven by a deep-rooted desire to make the world an accessible place for everyone. We believe that technology has the power to bridge gaps, and it's this belief that inspired us to to embark on this journey
By harnessing the capabilities of the oneDNN Intel oneAPI toolkit, this project aims to construct an AI-driven solution. It will analyse images or videos sourced from cameras or webcams, enabling robust detection of adherence to personal protective equipment protocols among construction site person.
We working on porting the features of ZFP compression library to SYCL. We will begin by porting the fixed-rate compression mode then we will move on to other functionalities.
Just as a single spark can light up a dark room, a single piece of knowledge can dispel ignorance. Through this project, we aim to raise public consciousness about the realities of schizophrenia, its risk factors, and its symptoms.
This visual assistant app helps blind users by generating image captions with Intel OneDNN and oneDAL reading them with Google text-to-speech library. Built using Streamlit and OneAPI toolkits, it extracts visual features and creates descriptions to provide greater awareness of surroundings.
SongifyVox is an innovative voice conversion app powered by PyTorch, Intel@ One API a cutting-edge deep learning framework. This revolutionary application allows users to transform their recorded voices by choosing their favorite AI artist into captivating songs with the help of AI algorithms.
Image segmentation of luxury cars, worked on the Intel OpenVINO notebook with Python, Matplotlib, training the model, uploading the photo, masking the photo, to change the image color.
We have developed an early warning system for student dropouts using Intel® AI Analytics Toolkits, specifically Intel® DAL and MKL. This powerful solution enables educational institutions to identify potential dropout risks early on by analyzing student data efficiently and accurately.
Developing a deep learning model for safe autonomous vehicle navigation, accurately detecting objects with low latency. Implemented Intel extension for PyTorch and Neural Compressor to optimize training and inference speed, aiming for an efficient system to advance autonomous vehicle technology.
This project presents an enhanced approach for phishing site detection, leveraging advanced machine learning techniques. Various ML algorithms like Decision Tree, Random Forest, Multilayer Perceptrons, XGBoost, Autoencoder Neural Networks and Support Vector Machines have been compared.
Assignments and workshops, students become
aware of the breadth of Intel AI portfolio and
practical experience of the benefits of using Intel
AI software and hardware co-optimized solutions.
By default, students consider Intel's AI portfolio
for their future academic and professional AI
projects.
Recent research suggests an emerging trend in the use of artificial intelligence to exceed human capabilities. One such application of AI is Sentiment Analysis, which shows potential in assessing the performance of products, marketing campaigns, and customer services.